Report

Brought to you by YData

Dataset statistics

Number of variables	23
Number of observations	3687
Missing cells	3917
Missing cells (%)	4.6%
Duplicate rows	4
Duplicate rows (%)	0.1%
Total size in memory	2.0 MiB
Average record size in memory	563.8 B

Variable types

Text	3
Numeric	10
Categorical	10

Alerts

Dataset has 4 (0.1%) duplicate rows	Duplicates
`area` is highly overall correlated with `builtup` and 3 other fields	High correlation
`balcony` is highly overall correlated with `propertyType`	High correlation
`bathRooms` is highly overall correlated with `bedRooms` and 1 other fields	High correlation
`bedRooms` is highly overall correlated with `bathRooms` and 2 other fields	High correlation
`builtup` is highly overall correlated with `area` and 3 other fields	High correlation
`carpet` is highly overall correlated with `area` and 3 other fields	High correlation
`floorNum` is highly overall correlated with `propertyType`	High correlation
`price` is highly overall correlated with `bathRooms` and 3 other fields	High correlation
`pricePerSqft` is highly overall correlated with `area` and 5 other fields	High correlation
`propertyType` is highly overall correlated with `balcony` and 2 other fields	High correlation
`superbuilt` is highly overall correlated with `area` and 3 other fields	High correlation
`others` is highly imbalanced (51.5%)	Imbalance
`pricePerSqft` has 357 (9.7%) missing values	Missing
`area` has 357 (9.7%) missing values	Missing
`superbuilt` has 357 (9.7%) missing values	Missing
`carpet` has 357 (9.7%) missing values	Missing
`builtup` has 357 (9.7%) missing values	Missing
`balcony` has 2120 (57.5%) missing values	Missing

Reproduction

Analysis started	2025-04-20 12:27:23.317087
Analysis finished	2025-04-20 12:27:28.084949
Duration	4.77 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

society
Text

Distinct	667
Distinct (%)	18.1%
Missing	0
Missing (%)	0.0%
Memory size	268.8 KiB

Length

Max length	70
Median length	57
Mean length	25.622457
Min length	7

Characters and Unicode

Total characters	94470
Distinct characters	39
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	296 ?
Unique (%)	8.0%

Sample

1st row	palam vihar, gurgaon
2nd row	m3m woodshire
3rd row	central park flower valley aqua front towers
4th row	sector 45, gurgaon
5th row	nirvana country, gurgaon

Value	Count	Frequency (%)
gurgaon	1622	11.2%
sector	870	6.0%
dlf	529	3.7%
phase	523	3.6%
the	379	2.6%
city	363	2.5%
1	345	2.4%
park	241	1.7%
sushant	218	1.5%
block	218	1.5%
Other values (628)	9130	63.2%

Most occurring characters

Value	Count	Frequency (%)
	18131	19.2%
a	7832	8.3%
r	6370	6.7%
e	6227	6.6%
o	5500	5.8%
s	4789	5.1%
t	4581	4.8%
g	4333	4.6%
n	4286	4.5%
i	3329	3.5%
Other values (29)	29092	30.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	71027	75.2%
Space Separator	18131	19.2%
Decimal Number	2847	3.0%
Other Punctuation	2433	2.6%
Dash Punctuation	32	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	7832	11.0%
r	6370	9.0%
e	6227	8.8%
o	5500	7.7%
s	4789	6.7%
t	4581	6.4%
g	4333	6.1%
n	4286	6.0%
i	3329	4.7%
l	3280	4.6%
Other values (16)	20500	28.9%

Decimal Number

Value	Count	Frequency (%)
1	543	19.1%
3	527	18.5%
2	399	14.0%
4	370	13.0%
6	203	7.1%
5	200	7.0%
8	165	5.8%
7	162	5.7%
9	141	5.0%
0	137	4.8%

Space Separator

Value	Count	Frequency (%)
	18131	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	2433	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	32	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	71027	75.2%
Common	23443	24.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	7832	11.0%
r	6370	9.0%
e	6227	8.8%
o	5500	7.7%
s	4789	6.7%
t	4581	6.4%
g	4333	6.1%
n	4286	6.0%
i	3329	4.7%
l	3280	4.6%
Other values (16)	20500	28.9%

Common

Value	Count	Frequency (%)
	18131	77.3%
,	2433	10.4%
1	543	2.3%
3	527	2.2%
2	399	1.7%
4	370	1.6%
6	203	0.9%
5	200	0.9%
8	165	0.7%
7	162	0.7%
Other values (3)	310	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94470	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	18131	19.2%
a	7832	8.3%
r	6370	6.7%
e	6227	6.6%
o	5500	5.8%
s	4789	5.1%
t	4581	4.8%
g	4333	4.6%
n	4286	4.5%
i	3329	3.5%
Other values (29)	29092	30.8%

price
Real number (ℝ)

High correlation

Distinct	653
Distinct (%)	17.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.7088527

Minimum	0.28
Maximum	75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.9 KiB

Quantile statistics

Minimum	0.28
5-th percentile	1.4
Q1	2.37
median	3.75
Q3	7.47
95-th percentile	16.25
Maximum	75
Range	74.72
Interquartile range (IQR)	5.1

Descriptive statistics

Standard deviation	5.2671663
Coefficient of variation (CV)	0.92263132
Kurtosis	15.155053
Mean	5.7088527
Median Absolute Deviation (MAD)	1.78
Skewness	2.7780263
Sum	21048.54
Variance	27.743041
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.5	55	1.5%
3.5	48	1.3%
4.25	45	1.2%
1.9	44	1.2%
2	42	1.1%
2.4	40	1.1%
7.5	40	1.1%
2.3	39	1.1%
8.5	38	1.0%
6.5	37	1.0%
Other values (643)	3259	88.4%

Value	Count	Frequency (%)
0.28	1	< 0.1%
0.3	1	< 0.1%
0.43	1	< 0.1%
0.48	1	< 0.1%
0.54	1	< 0.1%
0.55	1	< 0.1%
0.58	1	< 0.1%
0.59	2	0.1%
0.6	1	< 0.1%
0.61	3	0.1%

Value	Count	Frequency (%)
75	1	< 0.1%
50	2	0.1%
42	1	< 0.1%
40	1	< 0.1%
38	1	< 0.1%
35	2	0.1%
32	1	< 0.1%
31	1	< 0.1%
30	4	0.1%
29	2	0.1%

sector
Text

Distinct	128
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Memory size	210.0 KiB

Length

Max length	31
Median length	9
Mean length	9.2763765
Min length	8

Characters and Unicode

Total characters	34202
Distinct characters	34
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	0.7%

Sample

1st row	sector 1
2nd row	sector 107
3rd row	sector 33
4th row	sector 45
5th row	sector 50

Value	Count	Frequency (%)
sector	3679	49.2%
65	165	2.2%
43	140	1.9%
102	139	1.9%
50	118	1.6%
109	114	1.5%
81	112	1.5%
23	98	1.3%
26	98	1.3%
66	94	1.3%
Other values (114)	2726	36.4%

Most occurring characters

Value	Count	Frequency (%)
	3796	11.1%
c	3743	10.9%
o	3737	10.9%
e	3719	10.9%
t	3704	10.8%
s	3703	10.8%
r	3700	10.8%
1	1173	3.4%
6	952	2.8%
0	896	2.6%
Other values (24)	5079	14.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22508	65.8%
Decimal Number	7889	23.1%
Space Separator	3796	11.1%
Dash Punctuation	5	< 0.1%
Other Punctuation	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	3743	16.6%
o	3737	16.6%
e	3719	16.5%
t	3704	16.5%
s	3703	16.5%
r	3700	16.4%
k	47	0.2%
b	41	0.2%
l	34	0.2%
a	18	0.1%
Other values (11)	62	0.3%

Decimal Number

Value	Count	Frequency (%)
1	1173	14.9%
6	952	12.1%
0	896	11.4%
5	781	9.9%
2	761	9.6%
8	741	9.4%
4	734	9.3%
3	645	8.2%
7	606	7.7%
9	600	7.6%

Space Separator

Value	Count	Frequency (%)
	3796	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22508	65.8%
Common	11694	34.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	3743	16.6%
o	3737	16.6%
e	3719	16.5%
t	3704	16.5%
s	3703	16.5%
r	3700	16.4%
k	47	0.2%
b	41	0.2%
l	34	0.2%
a	18	0.1%
Other values (11)	62	0.3%

Common

Value	Count	Frequency (%)
	3796	32.5%
1	1173	10.0%
6	952	8.1%
0	896	7.7%
5	781	6.7%
2	761	6.5%
8	741	6.3%
4	734	6.3%
3	645	5.5%
7	606	5.2%
Other values (3)	609	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34202	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3796	11.1%
c	3743	10.9%
o	3737	10.9%
e	3719	10.9%
t	3704	10.8%
s	3703	10.8%
r	3700	10.8%
1	1173	3.4%
6	952	2.8%
0	896	2.6%
Other values (24)	5079	14.9%

pricePerSqft
Real number (ℝ)

High correlation Missing

Distinct	2492
Distinct (%)	74.8%
Missing	357
Missing (%)	9.7%
Infinite	0
Infinite (%)	0.0%
Mean	137493.5

Minimum	4074.07
Maximum	9166666.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.9 KiB

Quantile statistics

Minimum	4074.07
5-th percentile	9149.633
Q1	12222.22
median	18449.845
Q3	250000
95-th percentile	416666.67
Maximum	9166666.7
Range	9162592.6
Interquartile range (IQR)	237777.78

Descriptive statistics

Standard deviation	447431.98
Coefficient of variation (CV)	3.2542047
Kurtosis	319.83178
Mean	137493.5
Median Absolute Deviation (MAD)	8114.975
Skewness	16.797717
Sum	4.5785335 × 10⁸
Variance	2.0019538 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
250000	23	0.6%
300000	20	0.5%
375000	16	0.4%
350000	16	0.4%
400000	16	0.4%
10000	11	0.3%
360000	10	0.3%
319444.44	10	0.3%
333333.33	9	0.2%
416666.67	9	0.2%
Other values (2482)	3190	86.5%
(Missing)	357	9.7%

Value	Count	Frequency (%)
4074.07	1	< 0.1%
5277.78	1	< 0.1%
5961.54	1	< 0.1%
6064.81	1	< 0.1%
6085.37	1	< 0.1%
6195.12	1	< 0.1%
6553.19	1	< 0.1%
6666.67	1	< 0.1%
6976.74	1	< 0.1%
7222.22	2	0.1%

Value	Count	Frequency (%)
9166666.67	2	0.1%
9000000	2	0.1%
8750000	1	< 0.1%
8500000	1	< 0.1%
8000000	1	< 0.1%
7625000	1	< 0.1%
1062500	1	< 0.1%
957095.71	1	< 0.1%
805555.56	1	< 0.1%
777777.78	1	< 0.1%

propertyType
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	192.5 KiB

flat	2120
house	1567

Length

Max length	5
Median length	4
Mean length	4.4250068
Min length	4

Characters and Unicode

Total characters	16315
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	house
2nd row	flat
3rd row	flat
4th row	house
5th row	house

Common Values

Value	Count	Frequency (%)
flat	2120	57.5%
house	1567	42.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2120	57.5%
house	1567	42.5%

Most occurring characters

Value	Count	Frequency (%)
f	2120	13.0%
l	2120	13.0%
a	2120	13.0%
t	2120	13.0%
h	1567	9.6%
o	1567	9.6%
u	1567	9.6%
s	1567	9.6%
e	1567	9.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16315	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2120	13.0%
l	2120	13.0%
a	2120	13.0%
t	2120	13.0%
h	1567	9.6%
o	1567	9.6%
u	1567	9.6%
s	1567	9.6%
e	1567	9.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16315	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2120	13.0%
l	2120	13.0%
a	2120	13.0%
t	2120	13.0%
h	1567	9.6%
o	1567	9.6%
u	1567	9.6%
s	1567	9.6%
e	1567	9.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16315	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2120	13.0%
l	2120	13.0%
a	2120	13.0%
t	2120	13.0%
h	1567	9.6%
o	1567	9.6%
u	1567	9.6%
s	1567	9.6%
e	1567	9.6%

area
Real number (ℝ)

High correlation Missing

Distinct	811
Distinct (%)	24.4%
Missing	357
Missing (%)	9.7%
Infinite	0
Infinite (%)	0.0%
Mean	1653.0113

Minimum	3
Maximum	20000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.9 KiB

Quantile statistics

Minimum	3
5-th percentile	120
Q1	360
median	1707
Q3	2290
95-th percentile	3850
Maximum	20000
Range	19997
Interquartile range (IQR)	1930

Descriptive statistics

Standard deviation	1377.918
Coefficient of variation (CV)	0.83358048
Kurtosis	13.897931
Mean	1653.0113
Median Absolute Deviation (MAD)	938
Skewness	2.1452981
Sum	5504527.6
Variance	1898657.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
360	84	2.3%
500	72	2.0%
300	68	1.8%
100	56	1.5%
60	52	1.4%
502	51	1.4%
263	48	1.3%
240	40	1.1%
215	38	1.0%
2400	32	0.9%
Other values (801)	2789	75.6%
(Missing)	357	9.7%

Value	Count	Frequency (%)
3	2	0.1%
4	3	0.1%
6	1	< 0.1%
8	1	< 0.1%
10	1	< 0.1%
55	2	0.1%
60	52	1.4%
61	2	0.1%
62	1	< 0.1%
65	1	< 0.1%

Value	Count	Frequency (%)
20000	1	< 0.1%
12718	1	< 0.1%
9500	1	< 0.1%
9000	1	< 0.1%
8515	2	0.1%
8500	8	0.2%
8200	1	< 0.1%
7800	2	0.1%
7626	1	< 0.1%
7600	1	< 0.1%

superbuilt
Real number (ℝ)

High correlation Missing

Distinct	919
Distinct (%)	27.6%
Missing	357
Missing (%)	9.7%
Infinite	0
Infinite (%)	0.0%
Mean	1760.9874

Minimum	3.75
Maximum	26000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.9 KiB

Quantile statistics

Minimum	3.75
5-th percentile	156
Q1	468
median	1742
Q3	2333.25
95-th percentile	4160
Maximum	26000
Range	25996.25
Interquartile range (IQR)	1865.25

Descriptive statistics

Standard deviation	1560.5364
Coefficient of variation (CV)	0.88617124
Kurtosis	25.124894
Mean	1760.9874
Median Absolute Deviation (MAD)	918
Skewness	3.1520392
Sum	5864088.2
Variance	2435273.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
468	80	2.2%
650	69	1.9%
390	62	1.7%
652.6	50	1.4%
341.9	41	1.1%
78	37	1.0%
130	33	0.9%
2400	32	0.9%
279.5	31	0.8%
312	30	0.8%
Other values (909)	2865	77.7%
(Missing)	357	9.7%

Value	Count	Frequency (%)
3.75	1	< 0.1%
3.9	1	< 0.1%
5	2	0.1%
5.2	1	< 0.1%
7.8	1	< 0.1%
10.4	1	< 0.1%
12.5	1	< 0.1%
68.75	1	< 0.1%
71.5	1	< 0.1%
72	3	0.1%

Value	Count	Frequency (%)
26000	1	< 0.1%
12718	1	< 0.1%
12350	1	< 0.1%
11700	1	< 0.1%
11050	8	0.2%
10660	1	< 0.1%
10140	2	0.1%
9913.8	1	< 0.1%
9880	1	< 0.1%
9750	1	< 0.1%

carpet
Real number (ℝ)

High correlation Missing

Distinct	980
Distinct (%)	29.4%
Missing	357
Missing (%)	9.7%
Infinite	0
Infinite (%)	0.0%
Mean	1161.2127

Minimum	2.4
Maximum	17000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.9 KiB

Quantile statistics

Minimum	2.4
5-th percentile	102
Q1	306
median	1127.75
Q3	1532.7
95-th percentile	2775.01
Maximum	17000
Range	16997.6
Interquartile range (IQR)	1226.7

Descriptive statistics

Standard deviation	1046.6036
Coefficient of variation (CV)	0.90130223
Kurtosis	22.933786
Mean	1161.2127
Median Absolute Deviation (MAD)	622.125
Skewness	3.0352403
Sum	3866838.4
Variance	1095379.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
306	80	2.2%
425	69	1.9%
255	62	1.7%
426.7	50	1.4%
223.55	41	1.1%
51	37	1.0%
85	33	0.9%
1680	31	0.8%
182.75	31	0.8%
204	30	0.8%
Other values (970)	2866	77.7%
(Missing)	357	9.7%

Value	Count	Frequency (%)
2.4	1	< 0.1%
2.55	1	< 0.1%
3.2	2	0.1%
3.4	1	< 0.1%
5.1	1	< 0.1%
6.8	1	< 0.1%
8	1	< 0.1%
44	1	< 0.1%
45	3	0.1%
45.75	1	< 0.1%

Value	Count	Frequency (%)
17000	1	< 0.1%
8902.6	1	< 0.1%
8075	1	< 0.1%
7650	1	< 0.1%
7225	8	0.2%
6970	1	< 0.1%
6630	2	0.1%
6482.1	1	< 0.1%
6460	1	< 0.1%
6375	1	< 0.1%

builtup
Real number (ℝ)

High correlation Missing

Distinct	881
Distinct (%)	26.5%
Missing	357
Missing (%)	9.7%
Infinite	0
Infinite (%)	0.0%
Mean	1411.48

Minimum	3
Maximum	20000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.9 KiB

Quantile statistics

Minimum	3
5-th percentile	120
Q1	360
median	1388
Q3	1874.4
95-th percentile	3300
Maximum	20000
Range	19997
Interquartile range (IQR)	1514.4

Descriptive statistics

Standard deviation	1250.7737
Coefficient of variation (CV)	0.88614343
Kurtosis	21.297299
Mean	1411.48
Median Absolute Deviation (MAD)	772
Skewness	2.880264
Sum	4700228.5
Variance	1564435
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
360	84	2.3%
500	72	2.0%
300	68	1.8%
100	56	1.5%
60	52	1.4%
502	51	1.4%
263	48	1.3%
2040	46	1.2%
240	40	1.1%
215	38	1.0%
Other values (871)	2775	75.3%
(Missing)	357	9.7%

Value	Count	Frequency (%)
3	2	0.1%
4	3	0.1%
6	1	< 0.1%
8	1	< 0.1%
10	1	< 0.1%
55	2	0.1%
60	52	1.4%
61	2	0.1%
62	1	< 0.1%
65	1	< 0.1%

Value	Count	Frequency (%)
20000	1	< 0.1%
10810.3	1	< 0.1%
9500	1	< 0.1%
9000	1	< 0.1%
8500	8	0.2%
8200	1	< 0.1%
7800	2	0.1%
7626	1	< 0.1%
7600	1	< 0.1%
7500	1	< 0.1%

bedRooms
Real number (ℝ)

High correlation

Distinct	29
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.2365066

Minimum	1
Maximum	49
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	3
Q3	5
95-th percentile	9
Maximum	49
Range	48
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.8648224
Coefficient of variation (CV)	0.6762228
Kurtosis	47.734116
Mean	4.2365066
Median Absolute Deviation (MAD)	1
Skewness	5.3349426
Sum	15620
Variance	8.2072073
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
3	1456	39.5%
4	881	23.9%
2	407	11.0%
5	378	10.3%
6	216	5.9%
9	74	2.0%
7	68	1.8%
8	47	1.3%
10	40	1.1%
12	38	1.0%
Other values (19)	82	2.2%

Value	Count	Frequency (%)
1	7	0.2%
2	407	11.0%
3	1456	39.5%
4	881	23.9%
5	378	10.3%
6	216	5.9%
7	68	1.8%
8	47	1.3%
9	74	2.0%
10	40	1.1%

Value	Count	Frequency (%)
49	1	< 0.1%
39	1	< 0.1%
36	3	0.1%
32	2	0.1%
27	1	< 0.1%
26	1	< 0.1%
24	3	0.1%
23	1	< 0.1%
22	5	0.1%
20	7	0.2%

bathRooms
Real number (ℝ)

High correlation

Distinct	32
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.5033903

Minimum	1
Maximum	55
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	4
Q3	5
95-th percentile	9
Maximum	55
Range	54
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.0004389
Coefficient of variation (CV)	0.66626224
Kurtosis	54.167914
Mean	4.5033903
Median Absolute Deviation (MAD)	1
Skewness	5.4370967
Sum	16604
Variance	9.0026336
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
3	1040	28.2%
4	970	26.3%
2	457	12.4%
5	402	10.9%
6	362	9.8%
7	146	4.0%
9	74	2.0%
8	64	1.7%
10	52	1.4%
12	30	0.8%
Other values (22)	90	2.4%

Value	Count	Frequency (%)
1	13	0.4%
2	457	12.4%
3	1040	28.2%
4	970	26.3%
5	402	10.9%
6	362	9.8%
7	146	4.0%
8	64	1.7%
9	74	2.0%
10	52	1.4%

Value	Count	Frequency (%)
55	1	< 0.1%
43	1	< 0.1%
40	2	0.1%
36	1	< 0.1%
33	1	< 0.1%
32	1	< 0.1%
27	1	< 0.1%
26	1	< 0.1%
25	1	< 0.1%
24	3	0.1%

address
Text

Distinct	672
Distinct (%)	18.2%
Missing	0
Missing (%)	0.0%
Memory size	305.8 KiB

Length

Max length	70
Median length	60
Mean length	35.897206
Min length	18

Characters and Unicode

Total characters	132353
Distinct characters	64
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	298 ?
Unique (%)	8.1%

Sample

1st row	palam vihar, gurgaon
2nd row	M3M Woodshire Sector 107, Gurgaon
3rd row	Central Park Flower Valley Aqua Front Towers Sector-33 Sohna, Gurgaon
4th row	sector 45, gurgaon
5th row	nirvana country, gurgaon

Value	Count	Frequency (%)
gurgaon	3742	17.9%
sector	2884	13.8%
dlf	551	2.6%
phase	549	2.6%
the	379	1.8%
city	367	1.8%
1	352	1.7%
park	241	1.2%
sushant	222	1.1%
block	221	1.1%
Other values (644)	11377	54.5%

Most occurring characters

Value	Count	Frequency (%)
	20335	15.4%
r	10489	7.9%
a	9785	7.4%
o	9641	7.3%
e	7852	5.9%
n	6645	5.0%
g	5916	4.5%
t	5906	4.5%
u	5147	3.9%
,	4556	3.4%
Other values (54)	46081	34.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	88054	66.5%
Space Separator	20335	15.4%
Uppercase Letter	11846	9.0%
Decimal Number	7513	5.7%
Other Punctuation	4556	3.4%
Dash Punctuation	49	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	10489	11.9%
a	9785	11.1%
o	9641	10.9%
e	7852	8.9%
n	6645	7.5%
g	5916	6.7%
t	5906	6.7%
u	5147	5.8%
c	4389	5.0%
s	4254	4.8%
Other values (16)	18030	20.5%

Uppercase Letter

Value	Count	Frequency (%)
G	2657	22.4%
S	2629	22.2%
P	815	6.9%
T	788	6.7%
M	773	6.5%
A	508	4.3%
E	450	3.8%
C	416	3.5%
F	366	3.1%
D	362	3.1%
Other values (15)	2082	17.6%

Decimal Number

Value	Count	Frequency (%)
1	1416	18.8%
6	866	11.5%
3	805	10.7%
0	778	10.4%
2	730	9.7%
8	711	9.5%
9	577	7.7%
4	559	7.4%
7	548	7.3%
5	523	7.0%

Space Separator

Value	Count	Frequency (%)
	20335	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	4556	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	49	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	99900	75.5%
Common	32453	24.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	10489	10.5%
a	9785	9.8%
o	9641	9.7%
e	7852	7.9%
n	6645	6.7%
g	5916	5.9%
t	5906	5.9%
u	5147	5.2%
c	4389	4.4%
s	4254	4.3%
Other values (41)	29876	29.9%

Common

Value	Count	Frequency (%)
	20335	62.7%
,	4556	14.0%
1	1416	4.4%
6	866	2.7%
3	805	2.5%
0	778	2.4%
2	730	2.2%
8	711	2.2%
9	577	1.8%
4	559	1.7%
Other values (3)	1120	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	132353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	20335	15.4%
r	10489	7.9%
a	9785	7.4%
o	9641	7.3%
e	7852	5.9%
n	6645	5.0%
g	5916	4.5%
t	5906	4.5%
u	5147	3.9%
,	4556	3.4%
Other values (54)	46081	34.8%

floorNum
Real number (ℝ)

High correlation

Distinct	42
Distinct (%)	1.1%
Missing	12
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	6.8307483

Minimum	-1
Maximum	46
Zeros	34
Zeros (%)	0.9%
Negative	1
Negative (%)	< 0.1%
Memory size	28.9 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	3
median	4
Q3	10
95-th percentile	19
Maximum	46
Range	47
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.9071643
Coefficient of variation (CV)	0.86479022
Kurtosis	3.9840106
Mean	6.8307483
Median Absolute Deviation (MAD)	2
Skewness	1.7768914
Sum	25103
Variance	34.89459
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
3	747	20.3%
2	554	15.0%
4	368	10.0%
5	225	6.1%
10	195	5.3%
8	193	5.2%
7	180	4.9%
1	159	4.3%
6	151	4.1%
12	137	3.7%
Other values (32)	766	20.8%

Value	Count	Frequency (%)
-1	1	< 0.1%
0	34	0.9%
1	159	4.3%
2	554	15.0%
3	747	20.3%
4	368	10.0%
5	225	6.1%
6	151	4.1%
7	180	4.9%
8	193	5.2%

Value	Count	Frequency (%)
46	1	< 0.1%
45	1	< 0.1%
38	1	< 0.1%
37	1	< 0.1%
36	2	0.1%
35	3	0.1%
34	3	0.1%
33	2	0.1%
32	3	0.1%
31	6	0.2%

facing
Categorical

Distinct	9
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	200.5 KiB

north-east	1062
east	940
north	623
west	238
north-west	227
Other values (4)	597

Length

Max length	10
Median length	5
Mean length	6.6566314
Min length	2

Characters and Unicode

Total characters	24543
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	north
2nd row	east
3rd row	north
4th row	east
5th row	north-east

Common Values

Value	Count	Frequency (%)
north-east	1062	28.8%
east	940	25.5%
north	623	16.9%
west	238	6.5%
north-west	227	6.2%
na	173	4.7%
south	152	4.1%
south-east	150	4.1%
south-west	122	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
north-east	1062	28.8%
east	940	25.5%
north	623	16.9%
west	238	6.5%
north-west	227	6.2%
na	173	4.7%
south	152	4.1%
south-east	150	4.1%
south-west	122	3.3%

Most occurring characters

Value	Count	Frequency (%)
t	5075	20.7%
s	3163	12.9%
e	2739	11.2%
o	2336	9.5%
h	2336	9.5%
a	2325	9.5%
n	2085	8.5%
r	1912	7.8%
-	1561	6.4%
w	587	2.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22982	93.6%
Dash Punctuation	1561	6.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	5075	22.1%
s	3163	13.8%
e	2739	11.9%
o	2336	10.2%
h	2336	10.2%
a	2325	10.1%
n	2085	9.1%
r	1912	8.3%
w	587	2.6%
u	424	1.8%

Dash Punctuation

Value	Count	Frequency (%)
-	1561	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22982	93.6%
Common	1561	6.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	5075	22.1%
s	3163	13.8%
e	2739	11.9%
o	2336	10.2%
h	2336	10.2%
a	2325	10.1%
n	2085	9.1%
r	1912	8.3%
w	587	2.6%
u	424	1.8%

Common

Value	Count	Frequency (%)
-	1561	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24543	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	5075	20.7%
s	3163	12.9%
e	2739	11.2%
o	2336	9.5%
h	2336	9.5%
a	2325	9.5%
n	2085	8.5%
r	1912	7.8%
-	1561	6.4%
w	587	2.4%

agePossesion
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.5 KiB

relatively new property	1931
moderatly old property	810
new property	586
old property	339
under construction	21

Length

Max length	23
Median length	23
Mean length	19.992135
Min length	12

Characters and Unicode

Total characters	73711
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	relatively new property
2nd row	relatively new property
3rd row	relatively new property
4th row	new property
5th row	relatively new property

Common Values

Value	Count	Frequency (%)
relatively new property	1931	52.4%
moderatly old property	810	22.0%
new property	586	15.9%
old property	339	9.2%
under construction	21	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
property	3666	36.2%
new	2517	24.9%
relatively	1931	19.1%
old	1149	11.4%
moderatly	810	8.0%
under	21	0.2%
construction	21	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	10876	14.8%
r	10115	13.7%
p	7332	9.9%
t	6449	8.7%
	6428	8.7%
y	6407	8.7%
l	5821	7.9%
o	5667	7.7%
a	2741	3.7%
n	2580	3.5%
Other values (8)	9295	12.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	67283	91.3%
Space Separator	6428	8.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	10876	16.2%
r	10115	15.0%
p	7332	10.9%
t	6449	9.6%
y	6407	9.5%
l	5821	8.7%
o	5667	8.4%
a	2741	4.1%
n	2580	3.8%
w	2517	3.7%
Other values (7)	6778	10.1%

Space Separator

Value	Count	Frequency (%)
	6428	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	67283	91.3%
Common	6428	8.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10876	16.2%
r	10115	15.0%
p	7332	10.9%
t	6449	9.6%
y	6407	9.5%
l	5821	8.7%
o	5667	8.4%
a	2741	4.1%
n	2580	3.8%
w	2517	3.7%
Other values (7)	6778	10.1%

Common

Value	Count	Frequency (%)
	6428	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	73711	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	10876	14.8%
r	10115	13.7%
p	7332	9.9%
t	6449	8.7%
	6428	8.7%
y	6407	8.7%
l	5821	7.9%
o	5667	7.7%
a	2741	3.7%
n	2580	3.5%
Other values (8)	9295	12.6%

balcony
Categorical

High correlation Missing

Distinct	5
Distinct (%)	0.3%
Missing	2120
Missing (%)	57.5%
Memory size	193.4 KiB

3+	843
3	347
2	325
1	42
0	10

Length

Max length	2
Median length	2
Mean length	1.5379706
Min length	1

Characters and Unicode

Total characters	2410
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3+
3rd row	2
4th row	3+
5th row	2

Common Values

Value	Count	Frequency (%)
3+	843	22.9%
3	347	9.4%
2	325	8.8%
1	42	1.1%
0	10	0.3%
(Missing)	2120	57.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	1190	75.9%
2	325	20.7%
1	42	2.7%
0	10	0.6%

Most occurring characters

Value	Count	Frequency (%)
3	1190	49.4%
+	843	35.0%
2	325	13.5%
1	42	1.7%
0	10	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1567	65.0%
Math Symbol	843	35.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	1190	75.9%
2	325	20.7%
1	42	2.7%
0	10	0.6%

Math Symbol

Value	Count	Frequency (%)
+	843	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2410	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	1190	49.4%
+	843	35.0%
2	325	13.5%
1	42	1.7%
0	10	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2410	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	1190	49.4%
+	843	35.0%
2	325	13.5%
1	42	1.7%
0	10	0.4%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	180.2 KiB

0	2503
1	1184

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3687
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	2503	67.9%
1	1184	32.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2503	67.9%
1	1184	32.1%

Most occurring characters

Value	Count	Frequency (%)
0	2503	67.9%
1	1184	32.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3687	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2503	67.9%
1	1184	32.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3687	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2503	67.9%
1	1184	32.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3687	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2503	67.9%
1	1184	32.1%

servant room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	180.2 KiB

1	2188
0	1499

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3687
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	2188	59.3%
0	1499	40.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2188	59.3%
0	1499	40.7%

Most occurring characters

Value	Count	Frequency (%)
1	2188	59.3%
0	1499	40.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3687	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2188	59.3%
0	1499	40.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	3687	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2188	59.3%
0	1499	40.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3687	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2188	59.3%
0	1499	40.7%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	180.2 KiB

0	2550
1	1137

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3687
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	2550	69.2%
1	1137	30.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2550	69.2%
1	1137	30.8%

Most occurring characters

Value	Count	Frequency (%)
0	2550	69.2%
1	1137	30.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3687	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2550	69.2%
1	1137	30.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3687	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2550	69.2%
1	1137	30.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3687	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2550	69.2%
1	1137	30.8%

others
Categorical

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	180.2 KiB

0	3300
1	387

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3687
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3300	89.5%
1	387	10.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3300	89.5%
1	387	10.5%

Most occurring characters

Value	Count	Frequency (%)
0	3300	89.5%
1	387	10.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3687	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3300	89.5%
1	387	10.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	3687	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3300	89.5%
1	387	10.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3687	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3300	89.5%
1	387	10.5%

store room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	180.2 KiB

0	2897
1	790

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3687
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2897	78.6%
1	790	21.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2897	78.6%
1	790	21.4%

Most occurring characters

Value	Count	Frequency (%)
0	2897	78.6%
1	790	21.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3687	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2897	78.6%
1	790	21.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	3687	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2897	78.6%
1	790	21.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3687	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2897	78.6%
1	790	21.4%

furnishType
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	180.2 KiB

1	1822
2	1487
0	378

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3687
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	2
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	1822	49.4%
2	1487	40.3%
0	378	10.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	1822	49.4%
2	1487	40.3%
0	378	10.3%

Most occurring characters

Value	Count	Frequency (%)
1	1822	49.4%
2	1487	40.3%
0	378	10.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3687	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1822	49.4%
2	1487	40.3%
0	378	10.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	3687	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1822	49.4%
2	1487	40.3%
0	378	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3687	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1822	49.4%
2	1487	40.3%
0	378	10.3%

luxuryScore
Real number (ℝ)

Distinct	204
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	130.73827

Minimum	0
Maximum	221
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	28.9 KiB

Quantile statistics

Minimum	0
5-th percentile	33
Q1	80
median	127
Q3	190
95-th percentile	221
Maximum	221
Range	221
Interquartile range (IQR)	110

Descriptive statistics

Standard deviation	61.814419
Coefficient of variation (CV)	0.47281044
Kurtosis	-1.2011258
Mean	130.73827
Median Absolute Deviation (MAD)	55
Skewness	-0.066606305
Sum	482032
Variance	3821.0224
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
221	389	10.6%
63	195	5.3%
207	116	3.1%
94	109	3.0%
110	99	2.7%
87	92	2.5%
199	76	2.1%
190	58	1.6%
203	47	1.3%
103	43	1.2%
Other values (194)	2463	66.8%

Value	Count	Frequency (%)
0	1	< 0.1%
6	8	0.2%
7	15	0.4%
8	11	0.3%
10	7	0.2%
13	8	0.2%
14	7	0.2%
15	17	0.5%
16	2	0.1%
17	3	0.1%

Value	Count	Frequency (%)
221	389	10.6%
215	1	< 0.1%
214	19	0.5%
213	12	0.3%
212	22	0.6%
211	18	0.5%
208	3	0.1%
207	116	3.1%
206	12	0.3%
205	11	0.3%

	agePossesion	area	balcony	bathRooms	bedRooms	builtup	carpet	facing	floorNum	furnishType	luxuryScore	others	pooja room	price	pricePerSqft	propertyType	servant room	store room	study room	superbuilt
agePossesion	1.000	0.074	0.078	0.049	0.086	0.056	0.048	0.099	0.183	0.116	0.153	0.000	0.114	0.082	0.053	0.319	0.027	0.064	0.050	0.045
area	0.074	1.000	0.052	-0.042	-0.189	0.996	0.995	0.000	0.491	0.108	0.338	0.074	0.228	-0.078	-0.600	0.411	0.431	0.221	0.214	0.995
balcony	0.078	0.052	1.000	0.147	0.161	0.052	0.052	0.070	0.098	0.216	0.160	0.074	0.144	0.136	0.000	1.000	0.266	0.144	0.245	0.052
bathRooms	0.049	-0.042	0.147	1.000	0.891	-0.022	-0.014	0.035	-0.252	0.193	-0.035	0.105	0.227	0.694	0.492	0.404	0.062	0.201	0.172	-0.021
bedRooms	0.086	-0.189	0.161	0.891	1.000	-0.161	-0.151	0.044	-0.362	0.188	-0.130	0.112	0.254	0.710	0.583	0.486	0.027	0.206	0.169	-0.161
builtup	0.056	0.996	0.052	-0.022	-0.161	1.000	1.000	0.000	0.467	0.111	0.323	0.050	0.157	-0.066	-0.590	0.254	0.358	0.153	0.176	0.999
carpet	0.048	0.995	0.052	-0.014	-0.151	1.000	1.000	0.000	0.465	0.118	0.323	0.038	0.157	-0.062	-0.587	0.200	0.313	0.137	0.177	0.999
facing	0.099	0.000	0.070	0.035	0.044	0.000	0.000	1.000	0.044	0.090	0.095	0.034	0.056	0.037	0.021	0.123	0.040	0.088	0.000	0.008
floorNum	0.183	0.491	0.098	-0.252	-0.362	0.467	0.465	0.044	1.000	0.079	0.249	0.052	0.317	-0.350	-0.488	0.671	0.055	0.282	0.224	0.466
furnishType	0.116	0.108	0.216	0.193	0.188	0.111	0.118	0.090	0.079	1.000	0.191	0.074	0.143	0.151	0.000	0.099	0.187	0.136	0.155	0.114
luxuryScore	0.153	0.338	0.160	-0.035	-0.130	0.323	0.323	0.095	0.249	0.191	1.000	0.268	0.125	-0.011	-0.216	0.396	0.220	0.150	0.152	0.324
others	0.000	0.074	0.074	0.105	0.112	0.050	0.038	0.034	0.052	0.074	0.268	1.000	0.072	0.084	0.013	0.095	0.065	0.175	0.075	0.049
pooja room	0.114	0.228	0.144	0.227	0.254	0.157	0.157	0.056	0.317	0.143	0.125	0.072	1.000	0.415	0.018	0.433	0.200	0.386	0.428	0.157
price	0.082	-0.078	0.136	0.694	0.710	-0.066	-0.062	0.037	-0.350	0.151	-0.011	0.084	0.415	1.000	0.765	0.530	0.327	0.346	0.356	-0.061
pricePerSqft	0.053	-0.600	0.000	0.492	0.583	-0.590	-0.587	0.021	-0.488	0.000	-0.216	0.013	0.018	0.765	1.000	0.057	0.041	0.000	0.016	-0.585
propertyType	0.319	0.411	1.000	0.404	0.486	0.254	0.200	0.123	0.671	0.099	0.396	0.095	0.433	0.530	0.057	1.000	0.068	0.374	0.287	0.202
servant room	0.027	0.431	0.266	0.062	0.027	0.358	0.313	0.040	0.055	0.187	0.220	0.065	0.200	0.327	0.041	0.068	1.000	0.145	0.202	0.309
store room	0.064	0.221	0.144	0.201	0.206	0.153	0.137	0.088	0.282	0.136	0.150	0.175	0.386	0.346	0.000	0.374	0.145	1.000	0.337	0.137
study room	0.050	0.214	0.245	0.172	0.169	0.176	0.177	0.000	0.224	0.155	0.152	0.075	0.428	0.356	0.016	0.287	0.202	0.337	1.000	0.176
superbuilt	0.045	0.995	0.052	-0.021	-0.161	0.999	0.999	0.008	0.466	0.114	0.324	0.049	0.157	-0.061	-0.585	0.202	0.309	0.137	0.176	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	society	price	sector	pricePerSqft	propertyType	area	superbuilt	carpet	builtup	bedRooms	bathRooms	address	floorNum	facing	agePossesion	balcony	pooja room	servant room	study room	others	store room	furnishType	luxuryScore
0	palam vihar, gurgaon	4.26	sector 1	24027.07	house	1773.0	2304.9	1507.05	1773.0	6.0	6.0	palam vihar, gurgaon	3.0	north	relatively new property	3	0	0	0	0	0	1	58
1	m3m woodshire	1.70	sector 107	8749.36	flat	1943.0	1943.0	1262.95	1554.4	3.0	3.0	M3M Woodshire Sector 107, Gurgaon	7.0	east	relatively new property	NaN	0	0	0	0	0	1	77
2	central park flower valley aqua front towers	2.50	sector 33	13974.29	flat	1789.0	1789.0	1162.85	1431.2	3.0	3.0	Central Park Flower Valley Aqua Front Towers Sector-33 Sohna, Gurgaon	5.0	north	relatively new property	NaN	0	0	0	0	1	2	131
3	sector 45, gurgaon	8.30	sector 45	44647.66	house	1859.0	2416.7	1580.15	1859.0	12.0	12.0	sector 45, gurgaon	4.0	east	new property	3+	1	0	1	0	0	0	198
4	nirvana country, gurgaon	10.40	sector 50	433333.33	house	240.0	312.0	204.00	240.0	4.0	4.0	nirvana country, gurgaon	NaN	north-east	relatively new property	2	0	1	1	0	0	1	37
5	vatika signature villas, sector 82, gurgaon	6.70	sector 82	186111.11	house	360.0	468.0	306.00	360.0	4.0	4.0	vatika signature villas, sector 82, gurgaon	2.0	west	relatively new property	3+	1	1	1	0	1	2	88
6	sector 46, gurgaon	3.70	sector 46	370000.00	house	100.0	125.0	80.00	100.0	3.0	3.0	sector 46, gurgaon	1.0	north-west	new property	2	1	1	1	0	1	1	99
7	bptp mansions park prime	3.90	sector 66	14109.99	flat	2764.0	2764.0	1934.80	2349.4	4.0	4.0	BPTP Mansions Park Prime Sector 66, Gurgaon	6.0	south	relatively new property	NaN	0	1	0	1	0	2	13
8	tata primanti	4.84	sector 72	18980.39	flat	2550.0	2550.0	1657.50	2040.0	3.0	3.0	Tata Primanti Sector 72, Gurgaon	5.0	north-east	new property	NaN	0	0	0	0	0	1	221
9	sushant lok phase 1, gurgaon	8.00	sector 43	372093.02	house	215.0	279.5	182.75	215.0	5.0	6.0	sushant lok phase 1, gurgaon	2.0	north-east	relatively new property	2	1	1	0	0	0	1	199

	society	price	sector	pricePerSqft	propertyType	area	superbuilt	carpet	builtup	bedRooms	bathRooms	address	floorNum	facing	agePossesion	balcony	pooja room	servant room	study room	store room	furnishType	luxuryScore
3677	m3m skycity	3.81	sector 65	18549.17	flat	2054.0	2054.0	1335.10	1643.20	3.0	3.0	M3M Skycity Sector 65, Gurgaon	21.0	east	new property	NaN	0	1	0	0	0	203
3678	block d sector 56, gurgaon	18.00	block d sector 56	360000.00	house	500.0	650.0	425.00	500.00	16.0	16.0	block d sector 56, gurgaon	4.0	north-east	relatively new property	3+	1	0	1	0	1	207
3679	puri diplomatic greens	4.80	sector 111	16271.19	flat	2950.0	2950.0	2065.00	2507.50	4.0	5.0	Puri Diplomatic Greens Sector 111, Gurgaon	12.0	north-west	relatively new property	NaN	0	1	0	0	1	87
3680	godrej oasis	2.15	sector 88	11621.62	flat	1850.0	1850.0	1202.50	1480.00	3.0	3.0	Godrej Oasis Sector 88A, Gurgaon	12.0	east	relatively new property	NaN	0	0	0	1	2	117
3681	emaar digihomes	3.55	sector 62	23541.11	flat	1508.0	1508.0	904.80	1131.00	2.0	2.0	Emaar Digihomes Sector 62, Gurgaon	15.0	north-east	relatively new property	NaN	0	0	0	0	2	172
3682	independent floor at dlf city, v block dlf phase 3, gurgaon	5.30	sector 23	36128.15	house	1467.0	1907.1	1246.95	1467.00	4.0	5.0	independent floor at dlf city, v block dlf phase 3, gurgaon	2.0	north-east	relatively new property	3+	0	0	0	1	1	166
3683	emaar the palm sprgs, sector 54, gurgaon	26.00	sector 54	722222.22	house	360.0	468.0	306.00	360.00	5.0	6.0	emaar the palm sprgs, sector 54, gurgaon	2.0	north-east	moderatly old property	3+	0	1	0	0	1	53
3684	tata primanti, sector 72, gurgaon	14.00	sector 72	NaN	house	NaN	NaN	NaN	NaN	5.0	5.0	tata primanti, sector 72, gurgaon	3.0	na	relatively new property	3+	1	0	1	0	1	125
3685	m3m golfestate	6.80	sector 65	17444.84	flat	3898.0	3898.0	2533.70	3118.40	3.0	3.0	M3M Golfestate Sector 65, Gurgaon	11.0	north-east	relatively new property	NaN	0	1	1	0	2	221
3686	sobha city	2.60	sector 108	18826.94	flat	1381.0	1381.0	828.60	1035.75	2.0	2.0	Sobha City Sector 108, Gurgaon	11.0	west	relatively new property	NaN	0	0	0	0	1	204

Most frequently occurring

	society	price	sector	pricePerSqft	propertyType	area	superbuilt	carpet	builtup	bedRooms	bathRooms	address	floorNum	facing	agePossesion	balcony	servant room	furnishType	luxuryScore	# duplicates
0	raheja revanta, sector 78, gurgaon	4.25	sector 78	NaN	house	NaN	NaN	NaN	NaN	4.0	3.0	raheja revanta, sector 78, gurgaon	4.0	east	new property	2	1	2	76	3
1	raheja revanta, sector 78, gurgaon	4.25	sector 78	NaN	house	NaN	NaN	NaN	NaN	4.0	3.0	raheja revanta, sector 78, gurgaon	4.0	east	new property	2	1	2	94	3
2	raheja revanta, sector 78, gurgaon	4.25	sector 78	NaN	house	NaN	NaN	NaN	NaN	4.0	3.0	raheja revanta, sector 78, gurgaon	4.0	na	new property	2	1	2	45	3
3	tulip yellow	2.39	sector 69	14025.82	flat	1704.0	1704.0	1107.6	1363.2	3.0	3.0	Tulip Yellow Sector 69, Gurgaon	3.0	east	relatively new property	NaN	0	2	221	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters